TY - JOUR
T1 - Cancer cell detection device for the diagnosis of bladder cancer from urine
AU - MacGregor, Melanie
AU - Safizadeh Shirazi, Hanieh
AU - Chan, Kit Man
AU - Ostrikov, Kola
AU - McNicholas, Kym
AU - Jay, Alex
AU - Chong, Michael
AU - Staudacher, Alexander H.
AU - Michl, Thomas D.
AU - Zhalgasbaikyzy, Aigerim
AU - Brown, Michael P.
AU - Kashani, Moein Navvab
AU - Di Fiore, Adam
AU - Grochowski, Alex
AU - Robb, Stephen
AU - Belcher, Simon
AU - Li, Jordan
AU - Gleadle, Jonathan M.
AU - Vasilev, Krasimir
PY - 2021/1/1
Y1 - 2021/1/1
N2 - Bladder cancer is common and has one of the highest recurrence rates. Cystoscopy, the current gold standard diagnosis approach, has recently benefited from the introduction of blue light assisted photodynamic diagnostic (PDD). While blue light cystoscopy improves diagnostic sensitivity, it remains a costly and invasive approach. Here, we present a microfluidic-based platform for non-invasive diagnosis which combines the principle of PDD with whole cell immunocapture technology to detect bladder cancer cells shed in patient urine ex vivo. Initially, we demonstrate with model cell lines that our non-invasive approach achieves highly specific capture rates of bladder cancer cells based on their Epithelial Cell Adhesion Molecule expression (>90%) and detection by the intensity levels of Hexaminolevulinic Acid-induced Protoporphyrin IX fluorescence. Then, we show in a pilot study that the biosensor platform successfully discriminates histopathologically diagnosed cancer patients (n = 10) from non-cancer controls (n = 25). Our platform can support the development of a novel non-invasive diagnostic device for post treatment surveillance in patients with bladder cancer and cancer detection in patients with suspected bladder cancer.
AB - Bladder cancer is common and has one of the highest recurrence rates. Cystoscopy, the current gold standard diagnosis approach, has recently benefited from the introduction of blue light assisted photodynamic diagnostic (PDD). While blue light cystoscopy improves diagnostic sensitivity, it remains a costly and invasive approach. Here, we present a microfluidic-based platform for non-invasive diagnosis which combines the principle of PDD with whole cell immunocapture technology to detect bladder cancer cells shed in patient urine ex vivo. Initially, we demonstrate with model cell lines that our non-invasive approach achieves highly specific capture rates of bladder cancer cells based on their Epithelial Cell Adhesion Molecule expression (>90%) and detection by the intensity levels of Hexaminolevulinic Acid-induced Protoporphyrin IX fluorescence. Then, we show in a pilot study that the biosensor platform successfully discriminates histopathologically diagnosed cancer patients (n = 10) from non-cancer controls (n = 25). Our platform can support the development of a novel non-invasive diagnostic device for post treatment surveillance in patients with bladder cancer and cancer detection in patients with suspected bladder cancer.
KW - Biofluids
KW - Biosensor
KW - Bladder cancer
KW - Cystoscopy
KW - EpCAM
KW - Hexaminolevulinic acid
KW - Immunocapture
KW - Microfluidic device
KW - Photodynamic diagnosis
KW - Plasma deposition
KW - PpIX fluorescence
UR - http://www.scopus.com/inward/record.url?scp=85092483128&partnerID=8YFLogxK
U2 - 10.1016/j.bios.2020.112699
DO - 10.1016/j.bios.2020.112699
M3 - Article
AN - SCOPUS:85092483128
SN - 0956-5663
VL - 171
JO - Biosensors and Bioelectronics
JF - Biosensors and Bioelectronics
M1 - 112699
ER -